D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Engineering and Technology D-index 54 Citations 23,495 118 World Ranking 1061 National Ranking 63
Biology and Biochemistry D-index 60 Citations 31,627 130 World Ranking 5332 National Ranking 419

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • DNA
  • Genome

Alvis Brazma focuses on Computational biology, Gene expression profiling, Bioinformatics, Genetics and Gene. He focuses mostly in the field of Computational biology, narrowing it down to topics relating to ENCODE and, in certain cases, Encyclopedia and Proteomics. His study in Gene expression profiling is interdisciplinary in nature, drawing from both Microarray analysis techniques and Functional genomics.

His studies in Microarray analysis techniques integrate themes in fields like Microarray and Data mining. In the field of Genetics, his study on Genome, Genomics and DNA sequencing overlaps with subjects such as Cytokinesis. His work on Human genome as part of general Genome study is frequently linked to Process, therefore connecting diverse disciplines of science.

His most cited work include:

  • Minimum information about a microarray experiment (MIAME)-toward standards for microarray data. (3539 citations)
  • An integrated encyclopedia of DNA elements in the human genome (2642 citations)
  • The PRIDE database and related tools and resources in 2019: improving support for quantification data. (2560 citations)

What are the main themes of his work throughout his whole career to date?

His scientific interests lie mostly in Gene, Genetics, Computational biology, Bioinformatics and Gene expression profiling. The various areas that Alvis Brazma examines in his Computational biology study include Cancer, Human genome, ENCODE, Proteomics and Cell type. Alvis Brazma combines subjects such as World Wide Web, Microarray databases, Information retrieval and Data science with his study of Bioinformatics.

His research integrates issues of Minimum information about a microarray experiment and Microarray gene expression in his study of Microarray databases. His Gene expression profiling study integrates concerns from other disciplines, such as Microarray analysis techniques and Database. His Microarray analysis techniques research includes themes of Gene chip analysis, Microarray, DNA microarray and Data mining.

He most often published in these fields:

  • Gene (26.70%)
  • Genetics (26.24%)
  • Computational biology (24.89%)

What were the highlights of his more recent work (between 2017-2021)?

  • Computational biology (24.89%)
  • Gene (26.70%)
  • Transcriptome (11.76%)

In recent papers he was focusing on the following fields of study:

Computational biology, Gene, Transcriptome, Gene expression and Cell are his primary areas of study. The concepts of his Computational biology study are interwoven with issues in RNA-Seq, Protein expression, RNA and Proteomics, Protein abundance. His Proteomics research includes elements of ENCODE and Bioinformatics.

His work on Regulation of gene expression, Genomics, Genome and Gene expression profiling as part of general Gene research is often related to Syk, thus linking different fields of science. Regulation of gene expression is a primary field of his research addressed under Genetics. His Transcriptome research also works with subjects such as

  • Transcriptional regulation together with Promoter,
  • Cancer, which have a strong connection to Microbiome and Messenger RNA.

Between 2017 and 2021, his most popular works were:

  • The PRIDE database and related tools and resources in 2019: improving support for quantification data. (2560 citations)
  • SARS-CoV-2 Receptor ACE2 Is an Interferon-Stimulated Gene in Human Airway Epithelial Cells and Is Detected in Specific Cell Subsets across Tissues. (901 citations)
  • Pan-cancer analysis of whole genomes (538 citations)

In his most recent research, the most cited papers focused on:

  • Gene
  • DNA
  • Genome

His primary areas of study are Gene, Computational biology, Genomics, Genome and Gene expression. In most of his Gene studies, his work intersects topics such as Bioinformatics. The study incorporates disciplines such as Point mutation, Germline mutation, Whole genome sequencing and Germline in addition to Computational biology.

His Genomics research is multidisciplinary, incorporating elements of Promoter, Transcriptome and Transcription, Transcriptional regulation. Alvis Brazma has included themes like Evolutionary biology and Phylogenetic tree in his Genome study. He has researched Gene expression in several fields, including Proteomics and ENCODE.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Minimum information about a microarray experiment (MIAME)-toward standards for microarray data.

Alvis Brazma;Pascal Hingamp;John Quackenbush;Gavin Sherlock.
Nature Genetics (2001)

4614 Citations

An integrated encyclopedia of DNA elements in the human genome

Ian Dunham;Anshul Kundaje;Shelley F. Aldred;Patrick J. Collins.
PMC (2012)

3535 Citations

The PRIDE database and related tools and resources in 2019: improving support for quantification data.

Yasset Perez-Riverol;Attila Csordas;Jingwen Bai;Manuel Bernal-Llinares.
Nucleic Acids Research (2019)

2639 Citations

International network of cancer genome projects

Thomas J. Hudson;Thomas J. Hudson;Warwick Anderson;Axel Aretz;Anna D. Barker.
Nature (2010)

1460 Citations

Transcriptome and genome sequencing uncovers functional variation in humans

Tuuli Lappalainen;Michael Sammeth;Marc R. Friedländer;Peter A. C. ‘t Hoen.
Nature (2013)

1444 Citations

BioMart and Bioconductor: a powerful link between biological databases and microarray data analysis

Steffen Durinck;Yves Moreau;Arek Kasprzyk;Sean Davis.
Bioinformatics (2005)

1307 Citations

A User's Guide to the Encyclopedia of DNA Elements (ENCODE)

Richard M. Myers;John Stamatoyannopoulos;Michael Snyder;Ian Dunham.
PLOS Biology (2011)

1200 Citations

ArrayExpress—a public repository for microarray gene expression data at the EBI

Helen E. Parkinson;Ugis Sarkans;Mohammadreza Shojatalab;Niran Abeygunawardena.
Nucleic Acids Research (2003)

1045 Citations

Gene expression data analysis

Alvis Brazma;Jaak Vilo.
FEBS Letters (2000)

849 Citations

GLOBAL TRANSCRIPTIONAL RESPONSES OF FISSION YEAST TO ENVIRONMENTAL STRESS

Dongrong Chen;W. Mark Toone;Juan Mata;Rachel Lyne.
Molecular Biology of the Cell (2003)

831 Citations

Best Scientists Citing Alvis Brazma

Henning Hermjakob

Henning Hermjakob

European Bioinformatics Institute

Publications: 114

Paul Flicek

Paul Flicek

European Bioinformatics Institute

Publications: 99

Jürg Bähler

Jürg Bähler

University College London

Publications: 89

Mark Gerstein

Mark Gerstein

Yale University

Publications: 87

Mark I. McCarthy

Mark I. McCarthy

University of Oxford

Publications: 82

Emmanouil T. Dermitzakis

Emmanouil T. Dermitzakis

University of Geneva

Publications: 78

Michael Snyder

Michael Snyder

Stanford University

Publications: 66

Peter J. Campbell

Peter J. Campbell

Wellcome Sanger Institute

Publications: 65

Ruedi Aebersold

Ruedi Aebersold

ETH Zurich

Publications: 63

Sandra Orchard

Sandra Orchard

European Bioinformatics Institute

Publications: 61

Helen Parkinson

Helen Parkinson

European Bioinformatics Institute

Publications: 61

Julio Saez-Rodriguez

Julio Saez-Rodriguez

Heidelberg University

Publications: 58

Duncan T. Odom

Duncan T. Odom

University of Cambridge

Publications: 55

Nuria Lopez-Bigas

Nuria Lopez-Bigas

Institució Catalana de Recerca i Estudis Avançats

Publications: 54

Tuuli Lappalainen

Tuuli Lappalainen

Columbia University

Publications: 51

Manolis Kellis

Manolis Kellis

MIT

Publications: 50

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

If you think any of the details on this page are incorrect, let us know.

Contact us
Something went wrong. Please try again later.